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在 OpenClaw 中安装
/install research-paper-monitor
功能描述
科研文献智能监测与摘要推送系统。自动监测多个学术信源（arXiv、PubMed、CNKI等），根据用户关注的领域和关键词采集最新论文，生成中文摘要并推送。适用于需要跟踪学术前沿的科研工作者、研究生、教师等。使用场景包括：(1) 定时监测特定研究领域的最新论文，(2) 根据关键词筛选高相关度论文，(3) 自动生成论...
安全使用建议
This package appears to do what it says: local collection, scoring, Chinese summarization templates, and local archiving. Before running: (1) review monitor.py and config.py to confirm the target directories and that you’re comfortable with files being written under ~/.openclaw; (2) only provide webhooks, SMTP, or Zotero API keys if you intend to enable those optional integrations — those will send data off your machine; (3) run the scripts under a regular user (not root) and test with a minimal configuration (few keywords, disabled notifications) to observe network requests and outputs; (4) if you need stronger guarantees, inspect or run the code in a sandbox/container and consider replacing the template summarization with your preferred local/remote LLM integration after reviewing its privacy implications.
功能分析
Type: OpenClaw Skill
Name: research-paper-monitor
Version: 1.0.2
The research-paper-monitor skill is a legitimate tool designed to automate the tracking and summarization of academic papers from sources like arXiv and PubMed. The bundle includes scripts for user configuration (config.py), paper monitoring (monitor.py), and report generation (generate_digest.py). The code uses standard Python libraries to interact with public APIs and stores data locally in the user's home directory (~/.openclaw/). While some features like Feishu notifications and AI summarization are currently implemented as placeholders or mocks, the logic is transparent, lacks obfuscation, and shows no signs of malicious intent such as data exfiltration or unauthorized persistence.
能力评估
Purpose & Capability
The name/description match the included scripts (config.py, monitor.py, search_papers.py, generate_digest.py). The code implements multi-source paper search (arXiv stubbed, PubMed/GoogleScholar stubs), scoring, local archiving, and optional push notifications — all consistent with the stated purpose. No unrelated cloud credentials or binaries are requested.
Instruction Scope
Runtime instructions are scoped to reading/writing local config/index files under ~/.openclaw/research-monitor, calling public academic APIs (arXiv) or web searches, generating summaries, and optionally sending notifications. The core monitor.py uses only urllib/ET for arXiv calls and writes local markdown/JSON files. The documentation includes optional examples (email via SMTP, WeCom, Zotero integration) that, if copied in, would require credentials and enable external posting — these are optional extensions, not mandatory behavior in the provided core scripts.
Install Mechanism
No install spec is provided; this is effectively a collection of local Python scripts. Nothing is downloaded or extracted during install by the skill itself. That lowers risk compared to arbitrary remote downloads.
Credentials
The skill declares no required environment variables or primary credentials. It may prompt for an optional Feishu webhook URL (configurable) and the docs show optional integrations (SMTP, Zotero API key) which would require credentials only if the user enables them. There are no hidden or unexplained secret requests in the core code.
Persistence & Privilege
The skill writes data only to its own directories under ~/.openclaw/research-monitor and ~/.openclaw/research-papers and updates its own index file. always is false and it does not modify other skills or system-wide settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install research-paper-monitor - 安装完成后，直接呼叫该 Skill 的名称或使用
/research-paper-monitor触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.2
Security fix: Remove unsafe SSL certificate verification bypass (ssl.CERT_NONE) that triggered VirusTotal suspicious pattern detection
v1.0.1
Security fix: Remove unsafe SSL certificate verification bypass (ssl.CERT_NONE) that triggered VirusTotal suspicious pattern detection
v1.0.0
Initial release with arXiv, PubMed support
元数据
常见问题
Research Paper Monitor 是什么？
科研文献智能监测与摘要推送系统。自动监测多个学术信源（arXiv、PubMed、CNKI等），根据用户关注的领域和关键词采集最新论文，生成中文摘要并推送。适用于需要跟踪学术前沿的科研工作者、研究生、教师等。使用场景包括：(1) 定时监测特定研究领域的最新论文，(2) 根据关键词筛选高相关度论文，(3) 自动生成论... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 418 次。
如何安装 Research Paper Monitor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install research-paper-monitor」即可一键安装，无需额外配置。
Research Paper Monitor 是免费的吗？
是的，Research Paper Monitor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Research Paper Monitor 支持哪些平台？
Research Paper Monitor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Research Paper Monitor？
由 孙金刚（@wiltonmotta）开发并维护，当前版本 v1.0.2。
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